Apparatus, and associated method, for filtering a receive signal by adaptive operation of an input noise whitening filter

ABSTRACT

Apparatus, and an associated method, for the receive part of a receiving station, such as a mobile station or other transceiver of a cellular communication system. Selection is made of filter characteristics to be exhibited by an adaptive, input noise whitening filter. A noise estimator estimates a noise component of a noise sequence. An autocorrelation estimator estimates the noise-component autocorrelation. A determination is made as to whether the autocorrelation exceeds a threshold. If so, filter characteristics are selected to cause the input noise whitening filter to operate to inject whitening noise into the received sequence.

CROSS REFERENCE TO RELATED APPLICATION

The present application is a continuation application of co-pending U.S.patent application Ser. No. 11/673,045, filed on Feb. 9, 2007. The priorapplication is hereby incorporated into the present application byreference.

The present invention relates generally to a manner for a receivingstation, such as the receive part of a cellular-system transceiver, bywhich to suppress interference included in a receive signal. Moreparticularly, the present invention relates to apparatus, and anassociated method, by which to operate an adaptive input noise whiteningfilter of the receiving station. The filter is caused to be powered, orotherwise operated, to whiten interference when the receive signalcontains a significant interference component and otherwise not toinject whitening.

A threshold is used to select whether to operate the input noisewhitening filter. Through appropriate setting of the threshold, thefilter is caused to be operable when the whitening facilitatesinformation recovery of received data and to be operable not to injectwhitening when its injection is not needed or helpful to the informationrecovery.

BACKGROUND OF THE INVENTION

Digital cellular, and other radio, communication systems are deployed toencompass significant portions of the populated areas of the world. Formany, access to such a communication system is a practical necessity.Two-way communications are generally provided in a cellularcommunication system to effectuate both voice communication services anddata communication services.

A cellular communication system makes relatively efficient use of itsallocated bandwidth, i.e., the portion of the electromagnetic spectrumallocated to the communication system for communications between thenetwork infrastructure and a mobile station used pursuant toeffectuation of a communication service. The geographical areaencompassed by the cellular communication system is divided into partsreferred to as cells, each defined by a base transceiver station.Relatively low-power signals are generated to effectuate communicationsbetween a base transceiver station and a mobile station positionedwithin the associated cell. And, cell-reuse schemes are utilized inwhich the same channels are re-used in different ones of the cellsaccording to a cell re-use pattern or scheme. While channel allocationsmade pursuant to a cell re-use scheme are made to limit interferencebetween concurrently-generated signals in the different cells,interference, sometimes occurs. Interference includes both co-channelinterference and adjacent channel interference. If the interference issignificant and it is not suppressed, or otherwise compensated for, theinterference degrades communication performance of the receivingstation.

Co-channel interference refers to interference caused byconcurrently-generated signals sent in another cell that uses, i.e.,“re-uses”, the same channels as those channels used in the cell in whichthe interfering signals are detected. And adjacent-channel interferencerefers to interference caused by concurrently-generated signal sent,typically, in another, e.g., adjacent, cell that uses differentchannels. But, the signal strengths of the signals sent in such othercells is so great as to cause aliasing that results in interference.

Various mechanisms are used, and others proposed, by which to compensatefor interference included in a receive signal received at a receivingstation. For instance, use of an adaptive noise whitening filter (INWF)has been proposed to suppress interference. The INWF is used togetherwith a receive filter. The receiver filter has a passband wide enough topass some adjacent channel interference and the INWF operates to whitenthe interference. While a narrow receiver filter would reject greateramounts of adjacent channel interference, its narrowing worsensequalizer operation at the receiving station to compensate forco-channel interference.

In short, the use of the adaptive input noise whitening filter in amanner best to suppress adjacent channel interference competes with theability of other receive-station elements to suppress, or compensate forco-channel interference. There is a need therefore, to provide animproved manner, at a receiving station, to compensate for, or tosuppress, interference forming part of a receive signal received at areceiving station.

It is in light of this background information related to receivingstations operable in a radio, or other, communication system that thesignificant improvements of the present invention have evolved.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates a functional block diagram of a radio communicationsystem in which an embodiment of the present invention is operable.

FIG. 2 illustrates a functional block diagram of an adaptive, inputnoise whitening filter assembly of an embodiment of the presentinvention.

FIG. 3 illustrates a process diagram representing the process ofoperation of an embodiment of the present invention.

DETAILED DESCRIPTION

The present invention, accordingly, advantageously provides apparatus,and an associated method, for a receiving station, such as the receivepart of a cellular-system transceiver, by which to compensate forinterference included in a receive signal received at the receivingstation.

Through operation of an embodiment of the present invention, an inputnoise whitening filter assembly is provided to facilitate informationrecovery at the receiving station.

Through further operation of an embodiment of the present invention, amanner is provided by which to operate the adaptive, input noisewhitening filter (INWF) of the receiving station.

In one aspect of the present invention, the adaptive, input noisewhitening filter is caused to be operated when interference forms asignificant part of the receive signal. And, the filter is caused not tobe powered, or otherwise not to inject whitening noise when the level ofadjacent-channel or co-channel interference is relatively low.

In another aspect of the present invention, a receive sequence isdetected at a receiving station. A noise estimator estimates the noisecomponent of the receive sequence. The noise component estimate isformed, e.g., utilizing a channel impulse response and a known trainingsequence.

In another aspect of the present invention, an autocorrelation estimateis formed of the estimated noise component. A high estimate ofautocorrelation is indicative of a significant noise component of thereceive signal. And, conversely, an estimate of autocorrelation that isof a low value is indicative of a receive signal having a small, ornegligible, noise component.

In another aspect of the present invention, an autocorrelation estimateis provided to a filter characteristic selector. The filtercharacteristic selector compares the autocorrelation estimate with athreshold value. Responsive to the comparison, selection is made as tothe filter characteristics to be exhibited by a filter positionedin-line to receive a representative of the receive sequence. The filtercharacteristic selector selects filter characteristics to be exhibitedby a filter if the autocorrelation estimate exceeds the threshold.Otherwise, no filter characteristics, i.e., a no-filteringcharacteristic, is selected by the filter characteristic selector.

Characteristics selected by the filter characteristic selector cause,for instance, the filter characteristic to be of a Linear PredictionError Filter (LPF).

In another aspect of the present invention, an adaptive, input noisewhitening filter is provided that selectably causes noise whitening orto be of characteristics that do not cause noise whitening of a receivesequence applied thereto. That is to say, the filter is adaptively ofcharacteristics that whiten input interference plus noise and,alternately, not to whiten a receive sequence.

In another aspect of the present invention, the adaptive, input noisewhitening filter that, when operated in a manner to exhibitother-than-unitary filtering characteristics, flattens the spectrum of areceived sequence signal. When the received sequence signal does notexhibit a significant noise, either adjacent-channel or co-channel,component, whitening filter operation is not required to flatten thespectrum of the received sequence signal. And, the input noise whiteningfilter is not operative to provide the whitening filtering of the inputsignal.

In another aspect of the present invention, the receive chain of thereceive part of a receiving station includes a receiver filterpositioned in-line with an adaptive, input noise whitening filter, andthe filters together are positioned in-line with an equalizer element.The use of the adaptive, input noise whitening filter permits thereceiver filter to be of a wider-band width pass band than wouldotherwise be permitted. While the receiver filter passes greater amountsof adjacent-channel interference, if the interference is significant,the INWF is caused to be operable to whiten the signal, thereby tosuppress the adjacent interference by whitening the input interferenceplus noise. Such operation facilitates equalizer operation by which torecover informational content of a received sequence received at thereceive chain portion.

In these and other aspects, therefore, apparatus, and an associatedmethod, is provided for a receive circuit that receives a receivesequence. A noise-component characteristic determiner is adapted toreceive an indication of a noise component of the receive sequence. Thenoise component characteristic determiner is configured to determine anoise-component characteristic that is characteristic of the noisecomponent. A filter characteristic selector is adapted to receive anindication of the noise-component characteristic determined by thenoise-component characteristic determiner. The filter characteristicselector is configured to select a filter characteristic responsive tothe noise-component characteristic.

Referring first, therefore, to FIG. 1, a radio communication system,shown generally at 10, provides for communications with mobile stations,such as the mobile station 12. In the exemplary implementation, thecommunication system forms a cellular communication system, amulti-access mobile radio communication system, having a networkinfrastructure including a plurality of spaced-apart space stations.Here, the network infrastructure is represented at 14, and a single basetransceiver station (BTS) 16 is represented to be part of the networkinfrastructure. More generally, the communication system 10 isrepresentative of any of various communication systems formed of a setof communications stations, here the stations 12 and 16, in which acommunicated signal is susceptible to having distortion introducedthereon. Additionally, the following description of exemplary operationshall be described with respect to downlink communications, that is,communication of data from the base transceiver station to the mobilestation 12. Description of operation of data communicated in theopposite, i.e., uplink, direction is analogous. Accordingly, thefollowing description is merely exemplary. Embodiments of the presentinvention are analogously implementable in any of various radio, andother, communication systems.

The arrow 24 is representative of the communication of data, here asequence of data symbols, by the base transceiver station to the mobilestation 12. Arrows 26 and 28 are representative, respectively, ofadjacent channel interference and co-channel interference introducedupon the data during its communication to the mobile station. The datasequence, when received at the mobile station, herein referred to, attimes, as a receive sequence, includes component portions formed of thedata sequence, the adjacent channel interference, and the co-channelinterference. The adjacent-channel and co-channel interference form,collectively, the interference component. As noted previously, theinterference component interferes with the recovery of the informationalcontent of the communicated data sequence. Efforts are made to suppress,or compensate for, the interference included in the receive sequence.

The receive part, i.e., the receive chain, of the mobile station isshown in FIG. 1. The receive part includes a RF (Radio Frequency)element 34 that operates upon indications of the receive sequence, oncetransduced into electrical form by the antenna 36. The RF element isfurther representative, e.g., of down conversion circuitry thatdown-converts radio-frequency energy to base band levels. The receivechain further includes a receiver filter 38, a wide-band, bandwidthfilter that suppresses component portions of the received signal thatare beyond the pass band of the filter. The filter, while shown as asingle element, is formed of, e.g., a combination of analog and digitalfilters that together define the task band of the filter element 38.

Signal passed by the receiver filter 38, here including I/Q samples onthe line 42, are provided to a derotation element 44. Derotationoperations are performed by the derotator, and derotated values, x(n),are generated on the line 46. The line 46 extends to an adaptive inputnoise whitening filter, INWF assembly 48 of an embodiment of the presentinvention and to a channel estimator 52.

In general, the INWF assembly operates selectably, depending upon theinterference component of the receive sequence, to add whitening noiseto the signal applied thereto. Operation of the INWF shall be describedin greater detail below. And, a filter output signal is generated on theline 56 that extends to an equalizer, such as a GMSK (Gaussian MinimumShift Keying) equalizer, 58. Soft decisions of symbol values are made bythe equalizer. Values representative of the decided values are generatedon the line 62 and provided to other receive chain elements (not shown).

The channel estimator 52 forms a channel estimate, a channel impulseresponse (CIR) responsive to the input values provided on the line 46and also training sequence (TS) provided on the line 64. A channelimpulse response value and a timing offset value, n₀, are provided tothe INWF assembly, here represented by way of the lines 66 and 68,respectively.

In operation, the INWF assembly is operable to provide signal whiteningthat acts to suppress adjacent channel interference by whitening theinput interference and noise. The whitening is provided only when thereceived sequence is of characteristics that such addition is helpful.When there are low levels of interference, the INWF is caused not toprovide whitening, such as being switched-off or turned-off, therebyacting as a unitary filter that passes all components of the signalapplied to the filter.

FIG. 2 illustrates the INWF assembly 48 that forms part of the receivepart of the mobile station 12 shown in FIG. 1. The sampled values x(n)are again shown to be provided to the assembly on the line 42. Theassembly is here shown to include a noise sample estimation element 74,an autocorrelation estimation element 76, a filter characteristicselector 78, and a filter element 82. The elements of the INWF assemblyare functionally represented, implementable in any desired manner, suchas, e.g., by algorithms executable by processing circuitry.

The noise sample estimation element 74 also receives indications of thetraining sequence, the channel impulse response and timing offset, hereby way of the lines 54, 66, and 68 respectively. The noise sampleestimation operator forms a noise estimate, w(n) of the receivedsequence. The noise estimate is provided, here by way of the line 84, tothe autocorrelation estimation element 76. Autocorrelations areperformed by the element 76, and a value of the autocorrelationestimate, r(n) is provided, here represented by way of the line 86, tothe filter characteristic selector 78. In one implementation, theautocorrelation is estimated as the absolute value of a sample, r(1).

The filter characteristic selector 78 operates to select thecharacteristics of an INWF, here the filter element 82. The filtercharacteristic is selected responsive to comparison of theautocorrelation estimate with a threshold value, here provided by way ofthe line 88. The filter characteristic that is selected is dependentupon a determination of whether the autocorrelation estimate is greaterthan, or not greater than, the threshold value.

If the autocorrelation estimate is less than the threshold value,indicative of low levels of interference in the receive sequence, thenthe filter characteristic selector selects the filter characteristicssuch that whitening noise is not added, i.e., b=1. If, conversely, theautocorrelation estimate is greater than the threshold, then the filtercharacteristic selection made by the selector is for the filter elementto be operable to inject white noise into the received sequence. That isto say, b=[1; a]. The value of b is provided here by way of the line 92,to the filter element 82, and the filter is operated in a manner inaccordance therewith. The filter element is also coupled to receive thereceive sequence on the line 42 form an output sequence on the line 94,together with a channel impulse response (CIR) estimate on the line 96.

Mathematical representations of the elements 74-82 of the INWF are asfollows. After the channel response is estimated over the trainingsequence, the noise samples can be estimated by subtracting there-modulated training sequence from the received signal, that is,

$\begin{matrix}{{w(n)} = {{x\left( {n_{0} + n} \right)} - {\sum\limits_{k = 0}^{L - 1}{{h(k)}{{s\left( {L - 1 + n - k} \right)}.}}}}} & (1)\end{matrix}$Where w(n) is the noise sample estimation, x(n) is the received sample,h(k) is the channel impulse response (CIR) estimation and s(k) is theknown training sequence (TS). n₀ is timing offset of the receivedsamples of the TS part. L is length of the CIR. 0≦n≦P-L and P is thelength of the TS. The noise samples can be whitened by a linearprediction error filter (LPF) whose coefficients are b=[1; a] and a isthe solution the normal equation:

$\begin{matrix}{{{\Gamma\; a} = {- \gamma}}{Where}} & (2) \\{\Gamma = \begin{bmatrix}{r(0)} & {r^{*}(1)} & \ldots & {r^{*}\left( {M - 1} \right)} \\{r(1)} & {r(0)} & \ldots & {r^{*}\left( {M - 2} \right)} \\\vdots & \vdots & \ddots & \vdots \\{r\left( {M - 1} \right)} & {r\left( {M - 2} \right)} & \ldots & {r(0)}\end{bmatrix}} & (3) \\{\gamma\left\lbrack {{r(1)},{r(2)},{\ldots\mspace{14mu}{r(M)}}} \right\rbrack}^{T} & (4)\end{matrix}$M is the order of the LPF and r(m) is the estimation of theautocorrelation of the noise samples

$\begin{matrix}{{r(m)} = {\frac{1}{P - L + 1}{\sum\limits_{k = m}^{P - L}{{w^{*}\left( {k - m} \right)}{{w(k)}.}}}}} & (5)\end{matrix}$

FIG. 3 illustrates a process, shown generally at 112, representative ofthe process of operation of an embodiment of the present invention.First, and as indicated by the block 114, a receive sequence is detectedat a receiving station. Then, and as indicated by the block 116, a noisesample estimate is formed. The noise sample is indicative of the noisecomponent of the received sequence. Then, and as indicated by the block118, an autocorrelation estimate is formed of the noise sample estimate.A determination is made, indicated by the decision block 122, as towhether the estimated autocorrelation exceeds a threshold. If so, theyes branch is taken to the block 124, and a filter characteristic of anINWF is selected to interject white noise into the receive sequence. If,conversely, the estimated autocorrelation level is less than thethreshold, the no branch is taken to the block 126, and the filtercharacteristic is selected to be of a unitary value, i.e., b=1. Pathsare taken from the blocks 124 and 126 to the block 128, and the INWF iscaused to be operated in accordance with the selected filtercharacteristics.

The filter characteristics are selected in a manner best to facilitaterecovery of the informational content of the receive sequence. When thereceive sequence includes significant interfering components, then thefilter is caused to interject white noise. Otherwise, the filter iscaused not to be operable, i.e., to exhibit a unitary filter response.The adaptive, input noise whitening filter is used in conjunction with awide-band, pass band receiver filter, best to provide an equalizer withthe received sequence components to form equalization operationsthereon.

1. A receiver having improved interference suppression comprising: afirst receiver filter; and an input noise whitening filter adapted toselectively add whitening to a received signal coupled from said firstreceiver filter comprising: an autocorrelation estimator adapted toaccept a noise estimate signal derived from said received signal,calculate a first autocorrelation function from said accepted noiseestimate signal, and determine an autocorrelation function from anabsolute value of said first autocorrelation function, a filtercharacteristic selector adapted to receive said autocorrelationestimate, compare said autocorrelation estimate to a threshold value,and select a non-unitary, white noise additive, filter characteristicwhen said autocorrelation estimate is above said threshold value andselect a unitary filter characteristic when said autocorrelationestimate is below said threshold value, and a selectable filter,responsive to said filter characteristic selector to recover an outputsignal having informational content from said received signal asmodified by said selected filter characteristic.
 2. The receiver ofclaim 1 wherein said first receiver filter further includes a widepassband.
 3. The receiver of claim 1 wherein said input noise whiteningfilter further comprises a linear prediction error filter, LPF.
 4. Thereceiver of claim 3 wherein said filter characteristics further compriseLPF filter coefficients.
 5. The receiver of claim 4 wherein said LPFfilter coefficients are unitary when said autocorrelation estimate isbelow said threshold value.
 6. The receiver of claim 1 wherein saidreceived signal further comprises a received sequence.
 7. The receiverof claim 6 wherein said noise estimate signal further comprises saidreceived sequence, a channel impulse response estimation, and a knowntraining response.
 8. A method of improving interference suppression ina receiver, comprising: filtering a received signal; and selectivelyadding whitening to said filtered received signal by: deriving a noiseestimate signal from said filtered received signal, calculating a firstautocorrelation function from said noise estimate signal, determining anautocorrelation function from an absolute value of said firstautocorrelation function, comparing said autocorrelation estimate to athreshold value, selecting a non-unitary, white noise additive, filtercharacteristic when said autocorrelation estimate is above saidthreshold value and selecting a unitary filter characteristic when saidautocorrelation estimate is below said threshold value, and recoveringan output signal having informational content from said filteredreceived signal as modified by a selectable filter employing saidselected filter characteristic.
 9. The method of claim 8 furthercomprising filtering said received signal with a wide passband filter.10. The method of claim 8 wherein said recovering an output signalfurther comprises modifying said filtered received signal with a linearprediction error filter, LPF.
 11. The method of claim 8 wherein saidfilter characteristics further comprise LPF filter coefficients.
 12. Themethod of claim 11 further comprises setting said LPF filtercoefficients to unitary values when said autocorrelation estimate isbelow said threshold value.
 13. The method of claim 8 wherein saidfiltering a received signal further comprises filtering a receivedsequence.
 14. The method of claim 8 further comprises calculating saidnoise estimate signal further from said received sequence, a channelimpulse response estimation, and a known training sequence response. 15.The method of claim 14 wherein said channel impulse response estimatoris estimated over a known training sequence.
 16. The method of claim 15wherein said noise estimate signal is estimated by subtracting aremodulated training sequence from said filtered received signal.